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Mc Gonagall went from easily spending 0 a month on dinners alone to having someone else dole out an average of -plus per night.

The questions posed by the various sites are too rudimentary, Webb says, and they tend to focus on a grocery list of requirements.

“In order to really match people based on more than preferences — which is to say their personalities, their observable behaviors and the like — you’d need more sophisticated machine learning, more natural language recognition, more computing power,” she says.

There is, of course, a glaring difference between dating and the other matchings — the "targets" being chosen are human beings, and they can choose whether or not to reply.

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The website, appropriately called PokéDates, launched Wednesday.

Making sense of dating algorithms is a virgin science and is still more miss than hit, says Mark Brooks, a dating-industry analyst and the editor of Online Personals Watch.

“Dating algorithms do exactly what they’re designed to do, which is to match two sets for data,” says Amy Webb, author of “Data, a Love Story: How I Gamed Dating to Meet My Match.

“That doesn’t mean that the algorithms fulfill our intentions, which is to find a mate and to settle down into a long-lasting relationship.” Why do dating sites fall short?

When people do find somebody they like, sites don’t often know why or how they’ve been successful, he says.

“So we don’t really know when the algorithm has worked.

Mc Gonagall kept things simple—no more than five dates with the same guy.